Group Scheduling Technique for Multiproduct, Multistage Manufacturing Systems

1977 ◽  
Vol 99 (3) ◽  
pp. 759-765 ◽  
Author(s):  
K. Hitomi ◽  
I. Ham
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Group Technology ◽  
Flow Time ◽  
Group Scheduling ◽  
Total Production ◽  
Total Flow ◽  
Multistage Manufacturing ◽  
Operations Scheduling ◽  
Scheduling Technique

“Group Scheduling,” which is operations scheduling based on the Group Technology concept, was analyzed in a multistage manufacturing system. In the case of fabricating multiple parts (jobs) grouped into several group cells, both optimal group and optimal job sequences were determined such that the total flow time (makespan) was minimized, by means of the branch-and-bound method. In addition, optimal machining speeds to be utilized on multiple stages (machines) for each job were determined to reduce the total production cost as much as possible. Optimizing algorithms for this Group Scheduling Technique were also presented with numerical examples.

Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest

SIMULATION ◽  
2019 ◽  
Vol 95 (11) ◽  
pp. 1085-1096 ◽  
Author(s):  
Abdessalem Jerbi ◽  
Achraf Ammar ◽  
Mohamed Krid ◽  
Bashir Salah
Keyword(s):  
Taguchi Method ◽  
Performance Optimization ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Flow Time ◽  
Mean Flow ◽  
Taguchi Optimization ◽  
Mean Flow Time

The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a flexible manufacturing system mean flow time optimization, show that the Arena/OptQuest optimization platform outperforms the Taguchi optimization method. Indeed, the Arena/OptQuest permits one, through the lowest experimental effort, to reliably minimize the mean flow time of the studied flexible manufacturing system more than the Taguchi method.

Total flow time minimization in a flowshop sequence-dependent group scheduling problem

2010 ◽  
Vol 37 (1) ◽  
pp. 199-212 ◽  
Author(s):  
Nasser Salmasi ◽  
Rasaratnam Logendran ◽  
Mohammad Reza Skandari
Keyword(s):  
Flow Time ◽  
Group Scheduling ◽  
Scheduling Problem ◽  
Total Flow ◽  
Total Flow Time ◽  
Sequence Dependent ◽  
Time Minimization

Optimization of Cellular Manufacturing Systems Using Genetic Algorithm: A Review

2012 ◽  
Vol 622-623 ◽  
pp. 60-63
Author(s):  
Pawan Kumar Arora ◽  
Abid Haleem ◽  
M.K. Singh ◽  
Harish Kumar
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Group Technology ◽  
Cellular Manufacturing ◽  
Research Work ◽  
Manufacturing Strategy ◽  
Cellular Manufacturing Systems ◽  
Design Considerations ◽  
Modern Optimization

Though Cellular Manufacturing System (CMS) has been an active area of research for past few decades, but, still it has not received the requisite attention so far. Despite of a useful manufacturing strategy based on the group technology (GT), it is yet to be established on a larger scale. The CMS allows the grouping of the facilities on the basis of similarity in manufacturing processes and design considerations of the products to be manufactured. A lot of researchers have worked for various developments related to various issues of CMS, but for last decades, the modern optimization tools like genetic algorithm (GA), artificial neural networks (ANN) have changed the scenario and research work has been accelerated related to CMS. The present paper is an attempt to discuss the GA related research work by various researchers for CMS. Research work along with their impact of past researchers has been discussed and reported here.

scholarly journals Model Terintegrasi Penjadwalan Batch dan Pm dengan Kriteria Minimalisasi Biaya Simpan, Setup dan Pm pada Mesin dengan Increasing Failure Rate

2013 ◽  
Vol 4 (1) ◽  
pp. 121
Author(s):  
Zahedi Zahedi
Keyword(s):  
Failure Rate ◽  
Preventive Maintenance ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flow Time ◽  
Maintenance Cost ◽  
Setup Cost ◽  
Increasing Failure Rate ◽  
Actual Flow

Development of today's manufacturing systems leads to the getting shorter in product life cycle, more variety of products, as well as increasing in consumer demand for quality and timeliness. Thus the accuracy and speed of decision-making within the manufacturing system becomes important. This paper proposes an integrated model of batch scheduling and preventive maintenance scheduling, in assumption no non-conforming parts to the criteria of minimizing the total saving cost, setup cost, preventive maintenance cost in minimizing the actual flow time on a machine with increasing failure rate. An example is provided to show how the model and algorithm work.

The Costs of Downtime Incidents in Serial Multistage Manufacturing Systems

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Jianbo Liu ◽  
Qing Chang ◽  
Guoxian Xiao ◽  
Stephan Biller
Keyword(s):  
Transient Analysis ◽  
Manufacturing Systems ◽  
Analytical Study ◽  
Manufacturing System ◽  
Accurate Estimation ◽  
Production Operation ◽  
Multistage Manufacturing ◽  
Plant Floor ◽  
The Impact ◽  
Permanent Production

Downtime is arguably the single most significant contributor to system inefficiency in a multistage manufacturing system. Achieving near-zero downtime has been the ultimate goal of production operation management at the plant floor. Accurate estimation of the impact of each downtime incident is of great importance for deciding where to allocate limited resources among various manufacturing stages. In this paper, we focus on quantitative analysis of the impact of each individual downtime event in terms of permanent production loss and financial cost. We start from the transient analysis of a single downtime event and later extend to more generic scenarios where downtime incidents occur concurrently at different stages. Apart from the analytical study, a practical computation procedure using real-time production records can be readily derived and implemented at the plant floor. Case studies are conducted to demonstrate its potential in facilitating the decision making at plant floor on project identification, prioritization, and budget allocation in a multistage manufacturing system.

scholarly journals Sustainable Reconfigurable Manufacturing System Design Using Adapted Multi-Objective Evolutionary Based Approaches

2021 ◽  
Author(s):  
Imen Khettabi ◽  
Lyes Benyoucef ◽  
Mohamed Amine Boutiche
Keyword(s):  
Genetic Algorithms ◽  
System Design ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Total Production ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Nsga Ii ◽  
Multi Objective ◽  
Manufacturing System Design

Abstract Nowadays, manufacturing systems should be cost-effective and environmentally harmless to cope with various challenges in today's competitive markets. In this paper, we aim to solve an environmental oriented multi-objective reconfigurable manufacturing system design (ie., sustainable reconfigurable machines and tools selection) in the case of a single unit process plan generation. A non-linear multi-objective integer program (NL-MOIP) is presented first, where four objectives are minimised respectively, the total production cost, the total production time, the amount of the greenhouse gases emitted by machines and the hazardous liquid wastes. Second, to solve the problem, we propose four adapted versions of evolutionary approaches, namely two versions of the well known non-dominated sorting genetic algorithm (NSGA-II and NSGA-III), weighted genetic algorithms (WGA) and random weighted genetic algorithms (RWGA). To illustrate the efficiency of the four approaches, several instances of the problem are experimented and the obtained results are analysed using three metrics respectively hypervolume, spacing metric and cardinality of the mixed Pareto fronts. Moreover, the influences of the probabilities of genetic operators on the convergence of the adapted NSGA-III are analysed and TOPSIS method is used to help the decision maker ranking and selecting the best process plans.

scholarly journals Optimization of Inter and Intra-Cell Layout in Cellular Manufacturing Systems using Simulated Software

2020 ◽  
Vol 8 (4S4) ◽  
pp. 183-187
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Group Technology ◽  
Cellular Manufacturing ◽  
Dynamic Environment ◽  
Simulation Software ◽  
Develop Model ◽  
Model Design ◽  
Cellular Manufacturing Systems ◽  
Frame Work

In this article we discuss how to manage “The Cellular Manufacturing System” (CMS) and explained the use of the Group Technology and in what reason that permit crumbling an Assembling Frame work and how is its management easier way than entire manufacturing system. Secondly, we develop model design by single row intra cell layout in three ways, they are Linear L shape – S shape by using Automation Studio Software (ASS), and find the best layout among these two types of design using ASS with minimize the Inter and Intra cell movements in static and dynamic environment from model and choose for the exertion is critic by using ARENA simulation software to identify optimized layout under Inter and Intra – cell of both environment in CMS.

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